Back to leaderboard

orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
88 vs 65
Hardware Fit
69 vs 99
Quality Score
96 vs 51

Hardware

orcarouter/Qwen3.8… smollm2-1.7b-instr…
MachineASUSMacBook Air
CPUIntel Core™ i5-10400Apple M4
Cores1210
RAM16 GB32 GB
GPUTodesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080Apple M4
OSMicrosoft Windows 10 专业版 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

orcarouter/Qwen3.8… smollm2-1.7b-instr…
Tokens/sec39.528.5
First chunk220 ms393 ms
TTFT3.2 s393 ms
Load time13.7 sN/A
Memory usage14.2 GB3.2 GB
Memory %89%10%

HW Fit Score Breakdown

orcarouter/Qwen3.8-27B-…

Speed
50/50
TTFT
14/20
Memory
5/30

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

orcarouter/Qwen3.8-27B-…

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest